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Study on optimization of soot blowing based on monitoring model of coal-fired power station soot accumulation

机译:基于燃煤发电站烟灰累积监测模型的烟灰吹吹扫的优化研究

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In view of the present unreasonable situation about the blowing way of boiler heating surface, an optimized model of soot blowing was established to improve the economic benefit of the unit, after weighing the improvement of boiler efficiency and steam loss caused by ash blowing and ensuring the safe operation of the unit. The measured data of thermal power plant DCS system and the basic thermodynamic calculation data was adopted, and the contamination rate of heating surface was calculated in real time. The fitted curve was taken by taking the expected data from multiple data sets at the same measuring point from the statistical point of view, combining the optimization model of the heating surface to solve the optimal soot blowing cycle in the boiler economizer of 300 MW coal-fired power plant, which was taken as the research object.
机译:鉴于锅炉加热表面的吹气方式的目前不合理的情况,建立了一种优化的烟灰吹塑模型,以提高单位的经济效益,在称重锅炉效率和灰烬吹割引起的蒸汽损失之后单位的安全操作。采用了热电厂DCS系统的测量数据和基本热力学计算数据,并实时计算了加热表面的污染速率。通过从统计观点采用相同测量点的多个数据集中的预期数据采用预期数据,组合了加热表面的优化模型,解决了300 MW煤的锅炉助长器中的最佳烟灰吹循环。被解雇的发电厂,作为研究对象。

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